Multicriteria optimization enables less experienced planners to efficiently produce high quality treatment plans in head and neck cancer radiotherapy

Autor: Erik W Korevaar, Roel G J Kierkels, Ruurd Visser, Roel J H M Steenbakkers, Hendrik P. Bijl, Aart A. van 't Veld, Johannes A. Langendijk
Přispěvatelé: Guided Treatment in Optimal Selected Cancer Patients (GUTS), Damage and Repair in Cancer Development and Cancer Treatment (DARE), Healthy Ageing, Allied Health Care and Nursing
Rok vydání: 2015
Předmět:
Male
Quality Assurance
Health Care
medicine.medical_treatment
quality assurance
radiometry
vrouwelijk
carcinoma
Multi-objective optimization
radiotherapie
intensiteit gemoduleerd
radiotherapy dosage
computersimulatie
prospectieve studies
algoritmen
hoofd en nek neoplasma's
humans
Head and neck cancer
Radiation treatment planning
LOCALIZED PROSTATE-CANCER
media_common
kwaliteitsborg
Middle Aged
health care
computergesteund
intensity-modulated
Oncology
Radiology Nuclear Medicine and imaging
computer-assisted
NAVIGATION
Carcinoma
Squamous Cell
gezondheid
intensiteit gemoduleerd
Female
radiotherapie
planning
computergesteund
Intensity modulated radiotherapy
Treatment planning
medicine.medical_specialty
radiotherapy planning
Intensity-modulated radiotherapy
media_common.quotation_subject
MODELS
carcinoma
squamous cel
algorithms
kwaliteitsborg
gezondheid
squamous cel
head and neck neoplasms
mensen
radiometrie
computer simulation
medicine
radiotherapie
Radiology
Nuclear Medicine and imaging
Quality (business)
Medical physics
IMRT
radiotherapy
Aged
Multicriteria optimization
squamous cell
business.industry
Research
Radiotherapy Planning
Computer-Assisted
mannelijk
medicine.disease
prospective studies
radiotherapie dosering
Radiation therapy
Radiotherapy
Intensity-Modulated
planning
business
Zdroj: Radiation oncology, 10(1):87. BMC
Radiation Oncology (London, England)
Radiation oncology, 10(87). Springer Verlag
ISSN: 1748-717X
DOI: 10.1186/s13014-015-0385-9
Popis: Objectives: To demonstrate that novice dosimetry planners efficiently create clinically acceptable IMRT plans for head and neck cancer (HNC) patients using a commercially available multicriteria optimization (MCO) system.Methods: Twenty HNC patients were enrolled in this in-silico comparative planning study. Per patient, novice planners with less experience in dosimetry planning created an IMRT plan using an MCO system (RayStation). Furthermore, a conventionally planned clinical IMRT plan was available (Pinnacle(3)). All conventional IMRT and MCO-plans were blind-rated by two expert radiation-oncologists in HNC, using a 5-point scale (1-5 with 5 the highest score) assessment form comprising 10 questions. Additionally, plan quality was reported in terms of planning time, dosimetric and normal tissue complication probability (NTCP) comparisons. Inter-rater reliability was derived using the intra-class correlation coefficient (ICC).Results: In total, the radiation-oncologists rated 800 items on plan quality. The overall plan score indicated no differences between both planning techniques (conventional IMRT: 3.8 +/- 1.2 vs. MCO: 3.6 +/- 1.1, p = 0.29). The inter-rater reliability of all ratings was 0.65 (95% CI: 0.57-0.71), indicating substantial agreement between the radiation-oncologists. In 93% of cases, the scoring difference of the conventional IMRT and MCO-plans was one point or less. Furthermore, MCO-plans led to slightly higher dose uniformity in the therapeutic planning target volume, to a lower integral body dose (13.9 +/- 4.5 Gy vs. 12.9 +/- 4.0 Gy, p Conclusions: MCO planning enables novice treatment planners to create high quality IMRT plans for HNC patients. Plans were created with vastly reduced planning times, requiring less resources and a short learning curve.
Databáze: OpenAIRE
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